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A Library for Support Vector Machines

Known as: LIBLINEAR, LibSVM 
LIBSVM and LIBLINEAR are two popular open source machine learning libraries, both developed at the National Taiwan University and both written in C… 
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C++Coordinate descentGATEJava

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Feature Extraction and Feature Set Selection for Cervical Cancer Diagnosis
Objectives: To identify a cervical cytology cell image as a representative of the normal or malignant cancerous cell. This work… 
2014
2014
ACTIVITY RECOGNITION USING HISTOGRAM OF ORIENTED GRADIENT PATTERN HISTORY
Human activity recognition is an important task in computer vision because it has many application areas such as, healthcare… 
2013
2013
AUTOMATIC LESION SEGMENTATION OFMULTIPLE SCLEROSIS IN MRI IMAGESUSING SUPERVISED CLASSIFIER
Magnetic Resonance Imaging (MRI) can be used to detect lesions in the brains of Multiple Sclerosis (MS) patients and is… 
Highly Cited
2013
Highly Cited
2013
BudgetedSVM: a toolbox for scalable SVM approximations
We present BudgetedSVM, an open-source C++ toolbox comprising highly-optimized implementations of recently proposed algorithms… 
2012
2012
Modulation recognition of communication signals based on high order cumulants and support vector machine
2011
2011
An Affine-Scaling Interior-Point Method for Continuous Knapsack Constraints with Application to Support Vector Machines
An affine-scaling algorithm (ASL) for optimization problems with a single linear equality constraint and box restrictions is… 
2010
2010
Author identification in short texts
Most research on author identification considers large texts. Not many research is done on author identification for short texts… 
2008
2008
Simple Incremental One-Class Support Vector Classification
We introduce the OneClassMaxMinOver (OMMO) algorithm for the problem of one-class support vector classification. The algorithm is… 
2006
2006
SHOGUN - A Large Scale Machine Learning Toolbox
We have developed an R Interface for our Machine Learning Toolbox SHOGUN. It features algorithms to train hidden markov models… 
2001
2001
Obtaining Calibrated Probability Estimates from Support Vector Machines
We use a technique known as binning to convert the outputs of support vector machine (SVM) classifiers into well-calibrated… 
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